JSON Canvas MCP Server
A server for creating, modifying, validating, and exporting JSON Canvas files, a format for infinite canvas data.
JSON Canvas MCP Server
A Model Context Protocol (MCP) server implementation that provides tools for working with JSON Canvas files according to the official specification. This server enables creating, modifying, and validating infinite canvas data structures.
Overview
The JSON Canvas MCP server provides a complete implementation of the JSON Canvas 1.0 specification, enabling:
- Creation and manipulation of infinite canvas data
- Support for all node types (text, file, link, group)
- Edge connections with styling and labels
- Validation against the specification
- Configurable output paths
Components
Resources
The server exposes the following resources:
canvas://schema: JSON Schema for validating canvas filescanvas://examples: Example canvas files demonstrating different featurescanvas://templates: Templates for creating new canvases
Tools
Node Operations
-
create_node
- Create a new node of any supported type
- Input:
type(string): Node type ("text", "file", "link", "group")properties(object): Node-specific properties- Common:
id,x,y,width,height,color - Type-specific:
text,file,url, etc.
- Common:
- Returns: Created node object
-
update_node
- Update an existing node's properties
- Input:
id(string): Node ID to updateproperties(object): Properties to update
- Returns: Updated node object
-
delete_node
- Remove a node and its connected edges
- Input:
id(string): Node ID to delete
- Returns: Success confirmation
Edge Operations
-
create_edge
- Create a new edge between nodes
- Input:
id(string): Unique edge identifierfromNode(string): Source node IDtoNode(string): Target node IDfromSide(optional string): Start side ("top", "right", "bottom", "left")toSide(optional string): End sidecolor(optional string): Edge colorlabel(optional string): Edge label
- Returns: Created edge object
-
update_edge
- Update an existing edge's properties
- Input:
id(string): Edge ID to updateproperties(object): Properties to update
- Returns: Updated edge object
-
delete_edge
- Remove an edge
- Input:
id(string): Edge ID to delete
- Returns: Success confirmation
Canvas Operations
-
validate_canvas
- Validate a canvas against the specification
- Input:
canvas(object): Canvas data to validate
- Returns: Validation results with any errors
-
export_canvas
- Export canvas to different formats
- Input:
format(string): Target format ("json", "svg", "png")canvas(object): Canvas data to export
- Returns: Exported canvas in requested format
Usage with Claude Desktop
Docker
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"jsoncanvas": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"canvas-data:/data",
"mcp/jsoncanvas"
],
"env": {
"OUTPUT_PATH": "/data/output"
}
}
}
}
UV
{
"mcpServers": {
"jsoncanvas": {
"command": "uv",
"args": [
"--directory",
"/path/to/jsoncanvas",
"run",
"mcp-server-jsoncanvas"
],
"env": {
"OUTPUT_PATH": "./output"
}
}
}
}
Configuration
The server can be configured using environment variables:
OUTPUT_PATH: Directory where canvas files will be saved (default: "./output")FORMAT: Default output format for canvas files (default: "json")
Building
Docker Build
docker build -t mcp/jsoncanvas .
Local Build
# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh
# Create virtual environment and install dependencies
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv pip install -e .
# Run tests
pytest
Example Usage
Creating a Canvas
from jsoncanvas import Canvas, TextNode, Edge
# Create nodes
title = TextNode(
id="title",
x=100,
y=100,
width=400,
height=100,
text="# Hello Canvas\n\nThis is a demonstration.",
color="#4285F4"
)
info = TextNode(
id="info",
x=600,
y=100,
width=300,
height=100,
text="More information here",
color="2" # Using preset color
)
# Create canvas
canvas = Canvas()
canvas.add_node(title)
canvas.add_node(info)
# Connect nodes
edge = Edge(
id="edge1",
from_node="title",
to_node="info",
from_side="right",
to_side="left",
label="Connection"
)
canvas.add_edge(edge)
# Save canvas
canvas.save("example.canvas")
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
İlgili Sunucular
Browser
Interact with and control your web browser via a browser extension.
Office PowerPoint MCP
Create, edit, and manipulate PowerPoint presentations using python-pptx.
ClickUp MCP
Integrate ClickUp project management with AI to manage tasks, lists, and spaces.
Pulsetic MCP Server
The Pulsetic MCP Server connects Pulsetic monitoring with AI agents and MCP-compatible tools, enabling direct access to uptime data, cron monitoring results, incident management workflows, and status page information through the Model Context Protocol (MCP). It allows teams to securely expose operational monitoring data in a structured format, making it easy to build AI-driven automation, monitoring assistants, and intelligent operational workflows without custom middleware.
Travel MCP Server
A comprehensive travel planning server for flight search, accommodation booking, currency exchange, and weather forecasting.
MCP Personal
A collection of MCP servers for various personal productivity tools and utilities.
HWP-MCP (한글 Model Context Protocol)
Control the Korean word processor HWP with AI for automated document creation, editing, and manipulation.
Twenty CRM
Interact with the Twenty CRM API through chat-based tools.
Yuga Planner
AI Task schedule planning with LLamaIndex and Timefold: breaks down a task description and schedules it around an existing calendar
Splid MCP
A Model Context Protocol (MCP) server that exposes Splid (splid.app) via tools, powered by the reverse‑engineered splid-js client.